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The Reconstitution of Work Practices Following a Radical Hospital Restructuring

2017· article· en· W2766630282 on OpenAlexaff
Samer Faraj, Karla Sayegh

Bibliographic record

VenueAcademy of Management Proceedings · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcGill University
Fundersnot available
KeywordsRestructuringSocialityMateriality (auditing)Adaptation (eye)EthnographyProcess (computing)Coherence (philosophical gambling strategy)Work (physics)SociologySpace (punctuation)Process managementOperations managementBusinessEngineeringPolitical sciencePsychologyComputer scienceEcologyAestheticsLawMechanical engineeringAnthropology

Abstract

fetched live from OpenAlex

Through this two-year ethnographic study we report on the merger and integration of two neonatal intensive care units belonging to separate hospitals into a newly built super hospital. Our field study of this transformation process offers analysis regarding the organizing challenges surfaced by the move, the adaptation to a new space with novel material arrangements, and the melding of units previously located in different hospitals. We trace how and why, as a result of sweeping changes in social and material configurations, work practices became less resilient and less performant. From this radical hospital restructuring, we offer insight on how the organizing mechanisms of existing work practices are constituted and how they are reconstituted given novel material, technological and social foundations. We find that practices have to be reconstituted when the sociality and materiality of a site of practice are dramatically altered. We develop how three essential organizing mechanisms (practice orientations, skillful performance and instrumentation configurations) provide coherence and resilience to a practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0040.002
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.407
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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